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DIGITAL AUDIO TAMPERING DETECTION BASED ON ENF CONSISTENCY

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成果类型:
会议论文
作者:
Wang, Zhi-Feng;Wang, Jing;Zeng, Chun-Yan*;Min, Qiu-Sha;Tian, Yuan;...
通讯作者:
Zeng, Chun-Yan
作者机构:
[Tian, Yuan; Wang, Zhi-Feng; Zuo, Ming-Zhang; Min, Qiu-Sha; Wang, Jing] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430070, Peoples R China.
[Zeng, Chun-Yan] Hubei Univ Technol, Hubei Collaborat Innovat Ctr High Efficiency Util, Wuhan 430068, Peoples R China.
通讯机构:
[Zeng, Chun-Yan] H
Hubei Univ Technol, Hubei Collaborat Innovat Ctr High Efficiency Util, Wuhan 430068, Peoples R China.
语种:
英文
关键词:
Audio authentication;Electric network frequency;Forensic analysis;Hilbert transform
期刊:
PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION (ICWAPR)
年:
2018
页码:
209-214
会议名称:
International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)
会议论文集名称:
International Conference on Wavelet Analysis and Pattern Recognition
会议时间:
JUL 15-18, 2018
会议地点:
Chengdu, PEOPLES R CHINA
会议主办单位:
[Wang, Zhi-Feng;Wang, Jing;Min, Qiu-Sha;Tian, Yuan;Zuo, Ming-Zhang] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430070, Peoples R China.^[Zeng, Chun-Yan] Hubei Univ Technol, Hubei Collaborat Innovat Ctr High Efficiency Util, Wuhan 430068, Peoples R China.
会议赞助商:
Diee, Univ Alberta, Ulster Univ, IEEE, Portsmouth Univ, Univ Hyogo, IEEE Syst Man & Cybernet Soc, Univ Adelaide, Chengdu Univ, Univ Cagliari, Dept Elect & Electr Engn, Natl Key Lab Sci & Technol Blind Signal Proc
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-5386-5218-3
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61501199]; PhD Research Startup Foundation of Hubei University of Technology [BSQD13037]; Open Foundation of Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System [HBSEES201706]; Hubei Natural Science FoundationNatural Science Foundation of Hubei Province [2017CFB683]; self-determined research funds of CCNU from the colleges' basic research and operation of MOE [CCNU18QN021]; National Science and Technology Ministry [2015BAK33B02]
机构署名:
本校为第一机构
院系归属:
教育信息技术学院
摘要:
This paper addresses a method of automatic detection of digital audio signal tampering based on feature fusion. Aiming at the insertion and deletion operations in the digital audio signal tamper chain. In this paper, the Electric Network Frequency (ENF) component of the digital audio signal is extracted and the consistency of the ENF component is analyzed to determine whether the audio signal is tampered with. In this paper, a general framework for passive tamper detection of audio signal based on ENF component consistency and a general framework for ENFC feature extraction are proposed. The f...

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